Defense Advanced Research Projects AgencyTagged Content List

Software Programming

Pushing the boundaries of computer coding, including language development

Showing 25 results for Programming RSS
As computing devices become more pervasive, the software systems that control them have become increasingly more complex and sophisticated. Consequently, despite the tremendous resources devoted to making software more robust and resilient, ensuring that programs are correct—especially at scale—remains a difficult and challenging endeavor. Unfortunately, uncaught errors triggered during program execution can lead to potentially crippling security violations, unexpected runtime failure or unintended behavior, all of which can have profound negative consequences on economic productivity, reliability of mission-critical systems, and correct operation of important and sensitive cyber infrastructure.
Machine learning – the ability of computers to understand data, manage results and infer insights from uncertain information – is the force behind many recent revolutions in computing. Email spam filters, smartphone personal assistants and self-driving vehicles are all based on research advances in machine learning. Unfortunately, even as the demand for these capabilities is accelerating, every new application requires a Herculean effort. Teams of hard-to-find experts must build expensive, custom tools that are often painfully slow and can perform unpredictably against large, complex data sets.
Office Director
Dr. William Scherlis assumed the role of office director for DARPA’s Information Innovation Office (I2O) in September 2019. In this role he leads program managers in the development of programs, technologies, and capabilities to ensure information advantage for the United States and its allies, and coordinates this work across the Department of Defense and U.S. government.
02/13/2020
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is issuing a Disruption Opportunity (DO) inviting submissions of innovative basic or applied research concepts in the technical domain of multi-physics simulation.
08/30/2020
This Broad Agency Announcement (BAA) seeks revolutionary research ideas for topics not being addressed by ongoing I2O programs or other published solicitations. Potential proposers are highly encouraged to review the current I2O programs (http://www.darpa.mil/about-us/offices/i2o) and solicitations (http://www.darpa.mil/work-with-us/opportunities) to avoid proposing efforts that duplicate existing activities or that are responsive to other published I2O solicitations.